Application of learning signal processing system on RBC velocity measurement using laser Doppler technique

Yutaka Fukuoka, Eiji Okada, Hideo Matsuki, Haruyuki Minamitani

    研究成果: Conference contribution

    抄録

    The application of a learning signal processing system to blood velocity measurement is described. The system has been developed to increase the accuracy of the measurement at low S/N (signal-to-noise) ratio. An artificial neural network learns the pulsatile fluctuation of the velocity in order to predict the succeeding velocity signals adaptively. The velocity of red blood cells (RBCs) in microvessels of rat mesentery was measured by using a microscopic laser Doppler velocimeter. Cardiac pulsation apparently affects the RBC velocity even in arterioles; however, detection of the pulsatile component in the RBC velocity fluctuation using the conventional signal processor is very difficult because of its low S/N ratio. In contrast, the learning signal processing system which is pretrained can detect the component at low S/N ratio.

    本文言語English
    ホスト出版物のタイトルBiomedical Engineering Perspectives
    ホスト出版物のサブタイトルHealth Care Technologies for the 1990's and Beyond
    出版社Publ by IEEE
    ページ1410-1412
    ページ数3
    pt 3
    ISBN(印刷版)0879425598
    出版ステータスPublished - 1990 12 1
    イベントProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
    継続期間: 1990 11 11990 11 4

    出版物シリーズ

    名前Proceedings of the Annual Conference on Engineering in Medicine and Biology
    番号pt 3
    ISSN(印刷版)0589-1019

    Other

    OtherProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    CityPhiladelphia, PA, USA
    Period90/11/190/11/4

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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